datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
instructions
Merged Instructions Dataset
Merged Dataset for the response of instructions.
Retrievatar
Retrievatar
Retrievatar is a multimodal dataset designed to enhance the retrieval-augmented generation capabilities of vision-language models, specifically focusing on fictional anime characters and real-world celebrities across various fields. This release represents a subset of 100,000 samples extracted from a significantly larger synthetic image-text corpus. The dataset is being open-sourced to facilitate further research into entity-centric multimodal understanding, with plans… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/Retrievatar.ultrachat
Dataset Card for "ultrachat"
More Information needed
res-causallm-datacausal_lm_test-tokenized_datasetsdetails_CausalLM__72B-preview
Dataset Card for Evaluation run of CausalLM/72B-preview
Dataset Summary
Dataset automatically created during the evaluation run of model CausalLM/72B-preview on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_CausalLM__72B-preview.natural_instructions
Dataset Card for "natural_instructions"
More Information needed
details_CausalLM__34b-beta
Dataset Card for Evaluation run of CausalLM/34b-beta
Dataset automatically created during the evaluation run of model CausalLM/34b-beta on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_CausalLM__34b-beta.Kingfall-Roleplay
Kingfall-Roleplay
Dataset Summary
CausalLM/Kingfall-Roleplay is a preview subset of a larger synthetic corpus generated with Gemini Kingfall.
This release contains 10K adapted samples selected for public preview and research use. It is not the full Kingfall-generated corpus, nor is it a release of the original unmodified data.
Kingfall refers here to a reported confidential Gemini-family model that briefly became accessible during a limited availability window. Community… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/Kingfall-Roleplay.details_CausalLM__34b-beta
Dataset Card for Evaluation run of CausalLM/34b-beta
Dataset automatically created during the evaluation run of model CausalLM/34b-beta.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_CausalLM__34b-beta.details_CausalLM__72B-preview-llamafied-qwen-llamafy
Dataset Card for Evaluation run of CausalLM/72B-preview-llamafied-qwen-llamafy
Dataset automatically created during the evaluation run of model CausalLM/72B-preview-llamafied-qwen-llamafy on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_CausalLM__72B-preview-llamafied-qwen-llamafy.causal-lm-medium_6details_KnutJaegersberg__CausalLM-Platypus-14B
Dataset Card for Evaluation run of KnutJaegersberg/CausalLM-Platypus-14B
Dataset Summary
Dataset automatically created during the evaluation run of model KnutJaegersberg/CausalLM-Platypus-14B on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_KnutJaegersberg__CausalLM-Platypus-14B.camelGPT-4-Self-Instruct-GermanHere we share a German dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied.
We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly German. This dataset will be updated continuously.
causal-lm-smaller_20GPT-4-Self-Instruct-TurkishAs per the community's request, here we share a Turkish dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied.
We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly Turkish. This dataset will be… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/GPT-4-Self-Instruct-Turkish.causal-lm-smaller_8GPT-4-Self-Instruct-JapaneseHere we share a Japanese dataset synthesized using the OpenAI GPT-4 model with Self-Instruct, utilizing some excess Azure credits. Please feel free to use it. All questions and answers are newly generated by GPT-4, without specialized verification, only simple filtering and strict semantic similarity control have been applied.
We hope that this will be helpful for fine-tuning open-source models for non-English languages, particularly Japanese. This dataset will be updated continuously.
cot_flanoigcausal-lm-smaller_15causal-lm-medium_0causal-lm-smaller_32gpt4allflan-muffinshare_gptcausal-lm-smaller_22causal-lm-smaller_31causal-lm-medium_4